Readiness Assessment
1–2 week paid diagnostic identifying which processes are actually AI-ready.
Full transparency into how it's built. Accountability tied to outcomes you define, not hours we bill. Faster delivery, lower operating cost, less maintenance.

Three entry points
Organized by who's looking, not by technology — one consistent methodology runs underneath all three.
Engineering AI Systems
New systems to design, urgent features to bolt onto what's already live — the requests never stop. We engineer AI and non-AI systems alike, assessing at each step whether AI actually earns its place before we build it in, so what's already running stays healthy through the churn.
See how this works →Agentic Process Automation
Most processes live in people's heads, not documentation. We map what's actually happening today, flag the repeatable steps worth automating, and keep that map current — decision points included — so you can simulate a change before you make it, not after.
See how this works →Process Optimization / Extension
Most "add this feature" requests turn into "let's rebuild it" — often the expensive, riskier answer. We add the missing capability with AI-assisted development, integrated cleanly into what's already running. FOMO Cabs is the proof: B2B built first, B2C added without touching the core.
See how this works →No client logos yet — three things we've actually built
We're a new unit. We don't have a client logo wall yet, and we're not going to invent one. Here's what's real — including where it's scoped narrower than it might sound.



Standing visibility, not periodic reporting
This is a sample register, not a live client account — but it's the exact structure every engagement runs on: a scope reference, a milestone, and a status that only moves to “Accepted” once you've said so.
| Ref | Milestone | Status | Date |
|---|---|---|---|
| M-01 | Scope & success criteria signedScope doc SD-2201, both parties | Accepted | Week 1 |
| M-02 | Pilot workflow live in shadow modeInvoice-matching, AP team | Accepted | Week 4 |
| M-03 | Accuracy threshold demonstratedMeasured against SD-2201 target | In review | Week 6 |
| M-04 | Production cutover & handoffMeasured against SD-2201 target | In review | Week 6 |
Payment is released per milestone, only after the outcome above is demonstrated and accepted — never for “done” on our side alone.
Extended business partner
Every engagement starts with a jointly agreed scope document — what's being built, and the measurable outcome that proves it — signed by both sides before work begins.
Payment happens per milestone, only once its outcome is demonstrated and you've accepted it — not simply once the work is “done” from our side.
An ongoing, live view of what's being built and how it's performing — the register above, not a monthly deck.

One framework, every engagement
Four stages, in this order, every time — governed by the same milestone and acceptance discipline throughout.
1–2 week paid diagnostic identifying which processes are actually AI-ready.
4–6 weeks, one workflow, built end-to-end and measured against agreed criteria.
Milestone-based delivery, paid only on demonstrated, accepted outcomes.
Ongoing retainer — monitoring, tuning, and the same standing visibility, indefinitely.
One framework, every engagement
Four stages, in this order, every time — governed by the same milestone and acceptance discipline throughout.
1–2 week paid diagnostic identifying which processes are actually AI-ready.
4–6 weeks, one workflow, built end-to-end and measured against agreed criteria.
Milestone-based delivery, paid only on demonstrated, accepted outcomes.
Ongoing retainer — monitoring, tuning, and the same standing visibility, indefinitely.
We'll map which of your processes are AI-ready, what they're worth fixing, and whether building something new or integrating an off-the-shelf solution gets you there faster — before either of us commits to anything larger.
